H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 89 Citations 40,819 491 World Ranking 282 National Ranking 24
Electronics and Electrical Engineering H-index 74 Citations 29,687 303 World Ranking 207 National Ranking 20

Research.com Recognitions

Awards & Achievements

2015 - ACM Fellow For contributions to sensor networks.

2015 - IEEE Fellow For contributions to wireless sensor networks and systems

2013 - ACM Presidential Award Yunhao Liu, professor at Tsinghua University, is an active researcher and a member of the ACM China Council. He has spread the word and shared the value that ACM offers to China's vast computing community. As a result of his efforts, ACM membership in China has grown significantly. ACM is now a co-sponsor of the annual China National Computer Congress, China's largest event of its kind in the computer field. The gathering focused on green computing, system software, sensor network, information security, high-performance computing, mobile internet and intelligent terminals.


What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Operating system
  • Artificial intelligence

Real-time computing, Computer network, Wireless sensor network, Wireless and Distributed computing are his primary areas of study. His studies in Real-time computing integrate themes in fields like Tracking, Physical layer, Simulation, Embedded system and Channel state information. His Computer network research integrates issues from Scalability, Layer, The Internet and Identification.

His Wireless sensor network research is multidisciplinary, relying on both Key distribution in wireless sensor networks, Visual sensor network, Wireless network and Ranging. Yunhao Liu has researched Wireless in several fields, including Mobile radio, Software deployment, Mobile computing and Leverage. His study in Distributed computing is interdisciplinary in nature, drawing from both Overlay network, Wireless ad hoc network, Network topology, Node and Flooding.

His most cited work include:

  • LANDMARC: indoor location sensing using active RFID (1736 citations)
  • Big Data: A Survey (1645 citations)
  • LANDMARC: indoor location sensing using active RFID (659 citations)

What are the main themes of his work throughout his whole career to date?

Yunhao Liu spends much of his time researching Computer network, Wireless sensor network, Distributed computing, Real-time computing and Wireless. His Computer network research incorporates themes from Wireless ad hoc network, Scalability, Throughput and Wireless network. His research in Wireless sensor network intersects with topics in Energy consumption, Key distribution in wireless sensor networks, Mobile wireless sensor network, Node and Testbed.

His studies deal with areas such as Network topology, Overlay network, Topology and Flooding as well as Distributed computing. His work deals with themes such as Ranging, Efficient energy use, Embedded system and Simulation, which intersect with Real-time computing. His research ties Mobile computing and Wireless together.

He most often published in these fields:

  • Computer network (34.12%)
  • Wireless sensor network (28.38%)
  • Distributed computing (24.66%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (9.97%)
  • Real-time computing (21.79%)
  • Key (7.94%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Real-time computing, Key, Computer vision and Wireless. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Interface. Yunhao Liu performs integrative Real-time computing and Doppler effect research in his work.

He combines subjects such as Telecommunications, Network packet and Big data with his study of Key. His Computer vision research focuses on subjects like Mobile device, which are linked to Match moving. His work in Wireless covers topics such as Crowdsourcing which are related to areas like Optimization problem.

Between 2017 and 2021, his most popular works were:

  • Widar2.0: Passive Human Tracking with a Single Wi-Fi Link (92 citations)
  • Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi (56 citations)
  • On Reliable Task Assignment for Spatial Crowdsourcing (37 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • Artificial intelligence

His main research concerns Artificial intelligence, Real-time computing, Key, Computer vision and Robustness. Yunhao Liu has included themes like Data science and Code in his Artificial intelligence study. Yunhao Liu incorporates Real-time computing and Doppler effect in his studies.

His Key research is multidisciplinary, incorporating perspectives in Computer hardware, Leverage, Network packet, Throughput and Fingerprint. Wireless is closely connected to Embedded system in his research, which is encompassed under the umbrella topic of Inertial measurement unit. His Radio frequency research is multidisciplinary, incorporating elements of Computer security and Base station.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

LANDMARC: indoor location sensing using active RFID

Lionel M. Ni;Yunhao Liu;Yiu Cho Lau;Abhishek P. Patil.
Wireless Networks (2004)

3533 Citations

Big Data: A Survey

Min Chen;Shiwen Mao;Yunhao Liu.
Mobile Networks and Applications (2014)

2873 Citations

Locating in fingerprint space: wireless indoor localization with little human intervention

Zheng Yang;Chenshu Wu;Yunhao Liu.
acm/ieee international conference on mobile computing and networking (2012)

731 Citations

From RSSI to CSI: Indoor localization via channel response

Zheng Yang;Zimu Zhou;Yunhao Liu.
ACM Computing Surveys (2013)

651 Citations

Underground structure monitoring with wireless sensor networks

Mo Li;Yunhao Liu.
information processing in sensor networks (2007)

529 Citations

WILL: Wireless Indoor Localization without Site Survey

Chenshu Wu;Zheng Yang;Yunhao Liu;Wei Xi.
IEEE Transactions on Parallel and Distributed Systems (2013)

523 Citations

Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices

Lei Yang;Yekui Chen;Xiang-Yang Li;Chaowei Xiao.
acm/ieee international conference on mobile computing and networking (2014)

509 Citations

Underground coal mine monitoring with wireless sensor networks

Mo Li;Yunhao Liu.
ACM Transactions on Sensor Networks (2009)

475 Citations

Location, Localization, and Localizability

Yunhao Liu;Zheng Yang;Xiaoping Wang;Lirong Jian.
Journal of Computer Science and Technology (2010)

459 Citations

AnySee: Peer-to-Peer Live Streaming

X. Liao;H. Jin;Y. Liu;L. M. Ni.
ieee international conference computer and communications (2006)

451 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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